Karez turns the digital trail of work into a living operational memory — then deploys agents on the highest-value work it identifies.
Work flows across dozens of disconnected systems — each capturing a piece, none the whole. How the work actually gets done lives in the gaps between them, where value is lost and AI flies blind.
Every call, ticket, chat, doc, and log leaves a trace. Karez reads them all — one lens over every channel and system of record, no matter which team the work lives in.
Karez correlates the scattered signal into one living definition of how work runs — the real path, the exceptions, the friction — quantified and ranked by what it costs. Discovered in the data, not guessed.
Karez deploys agents on the highest-value repetitive work — the targets the data surfaced, not the ones someone assumed. Every run is measured, logged, and improvable.
One continuous pipeline — Karez observes the work, learns how it runs, then executes where it pays.
See the work, everywhere
02Find the pattern
03Act where it pays
Karez is an operational intelligence platform that turns the digital trail of work — calls, tickets, chats, docs, and logs — into a living operational memory, then deploys AI agents on the highest-value work it identifies.
Operational intelligence is a continuously updated understanding of how work actually runs across an organization, built from the signals work leaves behind in every system — not from static process documentation or one-time reports.
Karez runs a three-step pipeline. Observe: read the traces work leaves across every channel and system of record. Learn: correlate scattered signal into one living definition of how work runs, with friction quantified and ranked by cost. Execute: deploy AI agents on the highest-value repetitive work, with every run measured and logged.
Karez reads work wherever it happens — support calls, tickets, chat threads, documents, and engineering logs — across the systems of record used by support, sales, operations, finance, and engineering teams.
Dashboards report the metrics someone chose to track, and process mining maps flows inside a single system's event log. Karez reads unstructured work signals across all systems, builds a living definition of how work actually runs, and then acts on it by deploying AI agents — it doesn't stop at reporting.
Book a pilot by emailing hello@karez.ai. A pilot starts with Karez observing your existing work signals — no workflow changes required up front.